The science of supporting knowledge-intensive activitiesAdvanced computing methods and related technologies are changing the way engineers interact with the information infrastructure. Explicit knowledge representation formalisms and new reasoning techniques are no longer the sole territory of computer science. For knowledge-intensive tasks in engineering, a new philosophy and body of knowledge called Engineering Informatics is emerging.Advanced Engineering Informatics solicits research papers with particular emphases both on 'knowledge' and 'engineering applications'. As an international Journal, original papers typically:• Report progress in the engineering discipline of applying methods of engineering informatics. • Have engineering relevance and help provide the scientific base to make engineering decision-making more reliable, spontaneous and creative. • Contain novel research that demonstrates the science of supporting knowledge-intensive engineering tasks. • Validate the generality, power and scalability of new methods through vigorous evaluation, preferably both qualitatively and quantitatively.In addition, the Journal welcomes high quality review articles that summarise, compare, and evaluate methodologies and representations that are proposed for the field of engineering informatics. Similarly, summaries and comparisons of full-scale applications are welcomed, particularly those where scientific shortcomings have hindered success. Typically, such papers have expanded literature reviews and discussion of findings that reflect mastery of the current body of knowledge and propose novel additions to contemporary research.Papers missing explicit representation and use of knowledge, such as those describing soft computing techniques, mathematical optimization methods, pattern recognition techniques, and numerical computation methods, do not normally qualify for publication in the Journal. Papers must illustrate contributions using examples of automating and supporting knowledge intensive tasks in artifacts-centered engineering fields such as mechanical, manufacturing, architecture, civil, electrical, transportation, environmental, and chemical engineering. Papers that report application of an established method to a new engineering subdomain will qualify only if they convincingly demonstrate noteworthy new power, generality or scalability in comparison with previously reported validation results. Finally, papers that discuss software engineering issues only are not in the scope of this journal.
Journal of Informetrics (JOI) publishes rigorous high-quality research on quantitative aspects of information science. The main focus of the journal is on topics in bibliometrics, scientometrics, webometrics, patentometrics, altmetrics and research evaluation. Contributions studying informetric problems using methods from other quantitative fields, such as mathematics, statistics, computer science, economics and econometrics, and network science, are especially encouraged. JOI publishes both theoretical and empirical work. In general, case studies, for instance a bibliometric analysis focusing on a specific research field or a specific country, are not considered suitable for publication in JOI, unless they contain innovative methodological elements.
Science, Services and Agents on the World Wide Web Affiliated Journal of the Semantic Web Science Association (SWSA)The Journal of Web Semantics is an interdisciplinary journal based on research and applications of various subject areas that contribute to the development of a knowledge-intensive and intelligent service Web. These areas include: knowledge technologies, ontology, agents, databases and the semantic grid, obviously disciplines like information retrieval, language technology, human-computer interaction and knowledge discovery are of major relevance as well. All aspects of the Semantic Web development are covered. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services. The journal emphasizes the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications.The Journal of Web Semantics addresses various prominent application areas including: e-business, e-community, knowledge management, e-learning, digital libraries and e-sciences.The Journal of Web Semantics features a multi-purpose web site, which can be found at: http://www.semanticwebjournal.org/. Readers are also encouraged to visit the Journal of Web Semantics blog, at http://journalofwebsemantics.blogspot.com/ for more information and related links.The Journal of Web Semantics includes, but is not limited to, the following major technology areas: • The Semantic Web • Knowledge Technologies • Ontology • Agents • Databases • Semantic Grid and Peer-to-Peer Technology • Information Retrieval • Language Technology • Human-Computer Interaction • Knowledge Discovery • Web StandardsMajor application areas that are covered by the Journal of Web Semantics are: • eBusiness • eCommunity • Knowledge Management • eLearning • Digital Libraries • eScience.Each of these areas is covered by an area editor who supports the editors-in-chief. Furthermore, area editors manage the review process for submitted papers in the respective areas.The Journal of Web Semantics publishes five types of papers: • Research papers: Research papers are judged by originality, technical depth and correctness, as well as interest to our target readership. Research papers are recommended to have 15–25 pages in double column format. • Survey papers: We welcome survey papers that integrate the existing literature in (some area of) semantic web research and put its results in context. Survey papers are recommended to have 15–25 pages in double column format. • Ontology papers: We publish community-oriented description of ontology papers, if they generate interests from real-world users and semantic Web experts. Ontology papers are recommended to have 6–8 pages in double column format. Interested authors may here find a detailed Call for Ontology papers. • System papers: Widely adopted semantic systems and systems that generate a far above average amount of interest in the Semantic Web community, may be explained in systems papers. Systems papers are recommended to have 6–8 pages in double column format. Interested authors may here find a detailed Call for System papers. • Benchmark papers: The purpose of benchmark papers is to present novel benchmarks including datasets that deal with problems of interest to the community as well as extensive evaluations. Benchmark papers are recommended to have 15 - 25 pages in double column format.Shorter or longer papers are allowable, if the objectives of a paper warrant deviating length. Descriptions that are either unnecessarily short or long will negatively impact chances of acceptance.